This package provides functionality for exploring and visualising estimation results obtained with the software package BayesX for structured additive regression. It also provides functions that allow to read, write and manipulate map objects that are required in spatial analyses performed with BayesX, a free software for estimating structured additive regression models ( bayesx).

This software is also peer reviewed by journal JSS.

References in zbMATH (referenced in 30 articles , 2 standard articles )

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  1. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  2. Haiming Zhou, Timothy Hanson, Jiajia Zhang: spBayesSurv: Fitting Bayesian Spatial Survival Models Using R (2017) arXiv
  3. John V. Monaco, Malka Gorfine, Li Hsu: General Semiparametric Shared Frailty Model Estimation and Simulation with frailtySurv (2017) arXiv
  4. Heinzl, Felix; Tutz, Gerhard: Additive mixed models with approximate Dirichlet process mixtures: the EM approach (2016)
  5. Klein, Nadja; Kneib, Thomas: Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach (2016)
  6. Eilers, Paul H.C.; Marx, Brian D.; Durbán, Maria: Twenty years of P-splines (invited article) (2015)
  7. Lang, Stefan; Steiner, Winfried J.; Weber, Anett; Wechselberger, Peter: Accommodating heterogeneity and nonlinearity in price effects for predicting brand sales and profits (2015)
  8. Sperlich, Stefan; Theler, Raoul: Modeling heterogeneity: a praise for varying-coefficient models in causal analysis (2015)
  9. Bosq, Denis; Ruiz-Medina, María D.: Bayesian estimation in a high dimensional parameter framework (2014)
  10. Kim, Hea-Jung; Choi, Taeryon: On Bayesian estimation of regression models subject to uncertainty about functional constraints (2014)
  11. Takele, Kasahun; Taye, Ayele: Bayesian modelling of growth retardation among children under-five years old (2014)
  12. Bivand, Roger S.; Pebesma, Edzer J.; Gómez-Rubio, Virgilio: Applied spatial data analysis with R (2013)
  13. Flores, Claudio; Rodríez-Girondo, Mar; Cadarso-Suárez, Carmen; Kneib, Thomas; Gómez, Guadalupe; Casanova, Luis: Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru (2012)
  14. Rodrigues, E.C.; Assunção, R.: Bayesian spatial models with a mixture neighborhood structure (2012)
  15. Scheipl, Fabian; Fahrmeir, Ludwig; Kneib, Thomas: Spike-and-slab priors for function selection in structured additive regression models (2012)
  16. Fahrmeir, Ludwig; Kneib, Thomas: Bayesian smoothing and regression for longitudinal, spatial and event history data. (2011)
  17. Zhao, Luping; Hanson, Timothy E.: Spatially dependent Pólya tree modeling for survival data (2011)
  18. Gertheiss, Jan; Tutz, Gerhard: Sparse modeling of categorial explanatory variables (2010)
  19. Fahrmeir, Ludwig; Kneib, Thomas: Propriety of posteriors in structured additive regression models: Theory and empirical evidence (2009)
  20. Kauermann, Göran; Krivobokova, Tatyana; Fahrmeir, Ludwig: Some asymptotic results on generalized penalized spline smoothing (2009)

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